Program Lead, AI Tooling

CSQ426R284

The Databricks Professional Services team accelerates our customers' outcomes and platform adoption through expert delivery, enablement, and innovation. As our customers scale their use of the Databricks Data Intelligence Platform, our mission is to guide them through the evolving data and AI landscape with speed, precision, and strategic insight. Our team includes architects, data scientists, engagement managers, and program leaders united by the pursuit of excellence, and the desire to build the most capable Data and AI services team in the industry.

About the Role:

We are hiring an AI Tooling Program Lead to lead the design, development, and rollout of AI tools and workflows across the Databricks Professional Services (PS) organization. This role is ideal for a hands-on technical program leader who thrives at the intersection of product thinking, fast experimentation, and field impact.

You will identify high-leverage AI use cases within PS, develop proofs of concept using the Databricks stack and/or third-party tools, and work closely with delivery and operations teams to scale solutions that improve the quality, efficiency, and speed of how we serve our customers.

This role will be based in India and will work closely with engineering partners to drive rapid iteration and implementation.

The Impact You Will Have:

AI Tooling Ownership & Execution

• Identify and prioritize high-impact AI use cases across PS workflows (e.g., scoping, delivery execution, QA, proposal support)

• Build and iterate on AI-powered internal tools and workflows using Databricks, Python, SQL, and relevant APIs

• Evaluate, integrate, and extend third-party AI tools when appropriate

• Drive roadmap planning and execution, from prototyping to production-scale adoption

• Partner with internal stakeholders to ensure tools are intuitive, reliable, and widely used

Program Leadership & Implementation

• Help shape the direction for AI tooling within Professional Services

• Collaborate with cross-functional teams (engineering, field delivery, operations, and leadership) to align use cases and implementation strategy

• Lead workshops, feedback loops, and onboarding sessions to drive adoption and iteration of tools

• Ensure tight feedback cycles and continuous measurement of tool impact

What We Look For:

• 5+ years of experience in a technical program, product, or solutions engineering role

• Proven ability to build internal tools, workflows, or automations that drive business value

• Hands-on experience with data and AI tooling (e.g., LLMs, copilots, prompt engineering, RAG pipelines)

• Strong proficiency in Python, SQL, and ideally Databricks notebooks and platform features

• Ability to balance speed and quality, comfort with MVP-style builds and iterative improvement

• Excellent communication skills and a collaborative mindset

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.